Remote estimation of Secchi depth using GOCI data

DC Field Value Language
dc.contributor.author 김원국 -
dc.date.accessioned 2020-07-15T18:50:11Z -
dc.date.available 2020-07-15T18:50:11Z -
dc.date.created 2020-02-11 -
dc.date.issued 2017-04-17 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/24157 -
dc.description.abstract This study provides estimation of Secchi disk depth using GOCI data, and the validation results derived from in-situ measurements of Secchi depth. For the estimation, the input parameters inherent optical properties (IOP) is derived using quasi-analytical algorithm (QAA) based on the Doron’s classic algorithm. The validation results show that the mean normalized gross error is around 30% with mean normalized bias around 10%, when estimated by GOCI.uasi-analytical algorithm (QAA) based on the Doron’s classic algorithm. The validation results show that the mean normalized gross error is around 30% with mean normalized bias around 10%, when estimated by GOCI. -
dc.description.uri 1 -
dc.language English -
dc.publisher PAMS -
dc.relation.isPartOf Pacific-Asian Marginal Seas (PAMS) Meeting -
dc.title Remote estimation of Secchi depth using GOCI data -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 1 -
dc.citation.startPage 1 -
dc.citation.title Pacific-Asian Marginal Seas (PAMS) Meeting -
dc.contributor.alternativeName 김원국 -
dc.identifier.bibliographicCitation Pacific-Asian Marginal Seas (PAMS) Meeting, pp.1 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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